Overview

Brought to you by YData

Dataset statistics

Number of variables	43
Number of observations	26759
Missing cells	18469
Missing cells (%)	1.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	42.8 MiB
Average record size in memory	1.6 KiB

Variable types

Numeric	15
Text	16
Categorical	8
DateTime	3
URL	1

Alerts

`alt` is highly overall correlated with `country`	High correlation
`circuitId` is highly overall correlated with `country`	High correlation
`country` is highly overall correlated with `alt` and 3 other fields	High correlation
`driverId` is highly overall correlated with `raceId` and 1 other fields	High correlation
`driver_nationality` is highly overall correlated with `driver_number`	High correlation
`driver_number` is highly overall correlated with `driver_nationality`	High correlation
`laps` is highly overall correlated with `positionOrder`	High correlation
`lat` is highly overall correlated with `country`	High correlation
`lng` is highly overall correlated with `country` and 1 other fields	High correlation
`points` is highly overall correlated with `positionOrder` and 1 other fields	High correlation
`position` is highly overall correlated with `positionOrder` and 1 other fields	High correlation
`positionOrder` is highly overall correlated with `laps` and 4 other fields	High correlation
`positionText` is highly overall correlated with `position` and 1 other fields	High correlation
`raceId` is highly overall correlated with `driverId` and 1 other fields	High correlation
`resultId` is highly overall correlated with `driverId` and 1 other fields	High correlation
`statusId` is highly overall correlated with `points` and 1 other fields	High correlation
`time_y` is highly overall correlated with `lng`	High correlation
`rank` is highly imbalanced (50.3%)	Imbalance
`driver_number` is highly imbalanced (63.7%)	Imbalance
`time_y` is highly imbalanced (59.4%)	Imbalance
`race_datetime` has 18469 (69.0%) missing values	Missing
`resultId` is uniformly distributed	Uniform
`resultId` has unique values	Unique
`grid` has 1638 (6.1%) zeros	Zeros
`points` has 18589 (69.5%) zeros	Zeros
`laps` has 2532 (9.5%) zeros	Zeros

Reproduction

Analysis started	2025-08-20 18:20:05.998063
Analysis finished	2025-08-20 18:20:19.253459
Duration	13.26 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

resultId
Real number (ℝ)

High correlation Uniform Unique

Distinct	26759
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13380.977

Minimum	1
Maximum	26764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1338.9
Q1	6690.5
median	13380
Q3	20069.5
95-th percentile	25426.1
Maximum	26764
Range	26763
Interquartile range (IQR)	13379

Descriptive statistics

Standard deviation	7726.1346
Coefficient of variation (CV)	0.57739688
Kurtosis	-1.199847
Mean	13380.977
Median Absolute Deviation (MAD)	6690
Skewness	0.0003467618
Sum	3.5806157 × 10⁸
Variance	59693157
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20025	1	< 0.1%
1960	1	< 0.1%
1932	1	< 0.1%
1931	1	< 0.1%
1930	1	< 0.1%
1929	1	< 0.1%
1928	1	< 0.1%
1927	1	< 0.1%
1926	1	< 0.1%
1925	1	< 0.1%
Other values (26749)	26749	> 99.9%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
26764	1	< 0.1%
26763	1	< 0.1%
26762	1	< 0.1%
26761	1	< 0.1%
26760	1	< 0.1%
26759	1	< 0.1%
26758	1	< 0.1%
26757	1	< 0.1%
26756	1	< 0.1%
26755	1	< 0.1%

raceId
Real number (ℝ)

High correlation

Distinct	1125
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	551.68728

Minimum	1
Maximum	1144
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	64
Q1	300
median	531
Q3	811
95-th percentile	1075
Maximum	1144
Range	1143
Interquartile range (IQR)	511

Descriptive statistics

Standard deviation	313.26504
Coefficient of variation (CV)	0.56783081
Kurtosis	-1.0593698
Mean	551.68728
Median Absolute Deviation (MAD)	254
Skewness	0.12212825
Sum	14762600
Variance	98134.983
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
800	55	0.2%
809	47	0.2%
367	39	0.1%
361	39	0.1%
371	39	0.1%
744	39	0.1%
368	39	0.1%
370	39	0.1%
357	39	0.1%
360	39	0.1%
Other values (1115)	26345	98.5%

Value	Count	Frequency (%)
1	20	0.1%
2	20	0.1%
3	20	0.1%
4	20	0.1%
5	20	0.1%
6	20	0.1%
7	20	0.1%
8	20	0.1%
9	20	0.1%
10	20	0.1%

Value	Count	Frequency (%)
1144	20	0.1%
1143	20	0.1%
1142	20	0.1%
1141	20	0.1%
1140	20	0.1%
1139	20	0.1%
1138	20	0.1%
1137	20	0.1%
1136	20	0.1%
1135	20	0.1%

driverId
Real number (ℝ)

High correlation

Distinct	861
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	278.67353

Minimum	1
Maximum	862
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	57
median	172
Q3	399.5
95-th percentile	840
Maximum	862
Range	861
Interquartile range (IQR)	342.5

Descriptive statistics

Standard deviation	282.70304
Coefficient of variation (CV)	1.0144596
Kurtosis	-0.38996547
Mean	278.67353
Median Absolute Deviation (MAD)	142
Skewness	1.0208177
Sum	7457025
Variance	79921.009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	404	1.5%
1	356	1.3%
8	352	1.3%
22	326	1.2%
18	309	1.2%
30	308	1.2%
20	300	1.1%
815	283	1.1%
13	271	1.0%
817	257	1.0%
Other values (851)	23593	88.2%

Value	Count	Frequency (%)
1	356	1.3%
2	184	0.7%
3	206	0.8%
4	404	1.5%
5	112	0.4%
6	36	0.1%
7	27	0.1%
8	352	1.3%
9	99	0.4%
10	95	0.4%

Value	Count	Frequency (%)
862	1	< 0.1%
861	9	< 0.1%
860	3	< 0.1%
859	11	< 0.1%
858	36	0.1%
857	46	0.2%
856	11	< 0.1%
855	68	0.3%
854	44	0.2%
853	22	0.1%

constructorId
Real number (ℝ)

Distinct	211
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.180537

Minimum	1
Maximum	215
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	6
median	25
Q3	63
95-th percentile	205
Maximum	215
Range	214
Interquartile range (IQR)	57

Descriptive statistics

Standard deviation	61.551498
Coefficient of variation (CV)	1.226601
Kurtosis	0.92464474
Mean	50.180537
Median Absolute Deviation (MAD)	20
Skewness	1.4804598
Sum	1342781
Variance	3788.5869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	2439	9.1%
1	1923	7.2%
3	1676	6.3%
25	881	3.3%
32	871	3.3%
15	837	3.1%
9	788	2.9%
4	787	2.9%
18	672	2.5%
34	662	2.5%
Other values (201)	15223	56.9%

Value	Count	Frequency (%)
1	1923	7.2%
2	140	0.5%
3	1676	6.3%
4	787	2.9%
5	536	2.0%
6	2439	9.1%
7	280	1.0%
8	78	0.3%
9	788	2.9%
10	424	1.6%

Value	Count	Frequency (%)
215	48	0.2%
214	180	0.7%
213	166	0.6%
211	76	0.3%
210	380	1.4%
209	78	0.3%
208	154	0.6%
207	112	0.4%
206	109	0.4%
205	76	0.3%

race_number
Text

Distinct	130
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	3
Median length	2
Mean length	1.6792855
Min length	1

Characters and Unicode

Total characters	44936
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	0.1%

Sample

1st row	2
2nd row	3
3rd row	4
4th row	14
5th row	15

Value	Count	Frequency (%)
4	1019	3.8%
16	1005	3.8%
11	1001	3.7%
6	994	3.7%
3	994	3.7%
8	993	3.7%
14	982	3.7%
10	976	3.6%
20	972	3.6%
2	959	3.6%
Other values (120)	16864	63.0%

Most occurring characters

Value	Count	Frequency (%)
1	11013	24.5%
2	9391	20.9%
3	4455	9.9%
4	3750	8.3%
6	3040	6.8%
5	2910	6.5%
7	2859	6.4%
8	2715	6.0%
0	2583	5.7%
9	2208	4.9%
Other values (2)	12	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	44924	> 99.9%
Other Punctuation	6	< 0.1%
Uppercase Letter	6	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	11013	24.5%
2	9391	20.9%
3	4455	9.9%
4	3750	8.3%
6	3040	6.8%
5	2910	6.5%
7	2859	6.4%
8	2715	6.0%
0	2583	5.7%
9	2208	4.9%

Other Punctuation

Value	Count	Frequency (%)
\	6	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44930	> 99.9%
Latin	6	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	11013	24.5%
2	9391	20.9%
3	4455	9.9%
4	3750	8.3%
6	3040	6.8%
5	2910	6.5%
7	2859	6.4%
8	2715	6.0%
0	2583	5.7%
9	2208	4.9%

Latin

Value	Count	Frequency (%)
N	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	11013	24.5%
2	9391	20.9%
3	4455	9.9%
4	3750	8.3%
6	3040	6.8%
5	2910	6.5%
7	2859	6.4%
8	2715	6.0%
0	2583	5.7%
9	2208	4.9%
Other values (2)	12	< 0.1%

grid
Real number (ℝ)

Zeros

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.134796

Minimum	0
Maximum	34
Zeros	1638
Zeros (%)	6.1%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	11
Q3	17
95-th percentile	23
Maximum	34
Range	34
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.2028596
Coefficient of variation (CV)	0.64687847
Kurtosis	-0.92349181
Mean	11.134796
Median Absolute Deviation (MAD)	6
Skewness	0.19427022
Sum	297956
Variance	51.881187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0	1638	6.1%
1	1136	4.2%
7	1135	4.2%
5	1132	4.2%
11	1132	4.2%
9	1132	4.2%
4	1132	4.2%
10	1130	4.2%
3	1130	4.2%
8	1129	4.2%
Other values (25)	14933	55.8%

Value	Count	Frequency (%)
0	1638	6.1%
1	1136	4.2%
2	1125	4.2%
3	1130	4.2%
4	1132	4.2%
5	1132	4.2%
6	1125	4.2%
7	1135	4.2%
8	1129	4.2%
9	1132	4.2%

Value	Count	Frequency (%)
34	1	< 0.1%
33	13	< 0.1%
32	17	0.1%
31	18	0.1%
30	19	0.1%
29	25	0.1%
28	30	0.1%
27	46	0.2%
26	248	0.9%
25	301	1.1%

position
Categorical

High correlation

Distinct	34
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

\N	10953
3	1135
4	1135
2	1133
5	1131
Other values (29)	11272

Length

Max length	2
Median length	2
Mean length	1.6261445
Min length	1

Characters and Unicode

Total characters	43514
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	2
3rd row	3
4th row	4
5th row	5

Common Values

Value	Count	Frequency (%)
\N	10953	40.9%
3	1135	4.2%
4	1135	4.2%
2	1133	4.2%
5	1131	4.2%
1	1128	4.2%
6	1124	4.2%
7	1104	4.1%
8	1076	4.0%
9	1038	3.9%
Other values (24)	5802	21.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	10953	40.9%
3	1135	4.2%
4	1135	4.2%
2	1133	4.2%
5	1131	4.2%
1	1128	4.2%
6	1124	4.2%
7	1104	4.1%
8	1076	4.0%
9	1038	3.9%
Other values (24)	5802	21.7%

Most occurring characters

Value	Count	Frequency (%)
\	10953	25.2%
N	10953	25.2%
1	7721	17.7%
2	2094	4.8%
3	1861	4.3%
4	1743	4.0%
5	1660	3.8%
6	1557	3.6%
7	1441	3.3%
8	1300	3.0%
Other values (2)	2231	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21608	49.7%
Other Punctuation	10953	25.2%
Uppercase Letter	10953	25.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7721	35.7%
2	2094	9.7%
3	1861	8.6%
4	1743	8.1%
5	1660	7.7%
6	1557	7.2%
7	1441	6.7%
8	1300	6.0%
9	1180	5.5%
0	1051	4.9%

Other Punctuation

Value	Count	Frequency (%)
\	10953	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	10953	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	32561	74.8%
Latin	10953	25.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	10953	33.6%
1	7721	23.7%
2	2094	6.4%
3	1861	5.7%
4	1743	5.4%
5	1660	5.1%
6	1557	4.8%
7	1441	4.4%
8	1300	4.0%
9	1180	3.6%

Latin

Value	Count	Frequency (%)
N	10953	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43514	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	10953	25.2%
N	10953	25.2%
1	7721	17.7%
2	2094	4.8%
3	1861	4.3%
4	1743	4.0%
5	1660	3.8%
6	1557	3.6%
7	1441	3.3%
8	1300	3.0%
Other values (2)	2231	5.1%

positionText
Categorical

High correlation

Distinct	39
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

R	8897
F	1368
3	1135
4	1135
2	1133
Other values (34)	13091

Length

Max length	2
Median length	1
Mean length	1.216899
Min length	1

Characters and Unicode

Total characters	32563
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	2
3rd row	3
4th row	4
5th row	5

Common Values

Value	Count	Frequency (%)
R	8897	33.2%
F	1368	5.1%
3	1135	4.2%
4	1135	4.2%
2	1133	4.2%
5	1131	4.2%
1	1128	4.2%
6	1124	4.2%
7	1104	4.1%
8	1076	4.0%
Other values (29)	7528	28.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
r	8897	33.2%
f	1368	5.1%
3	1135	4.2%
4	1135	4.2%
2	1133	4.2%
5	1131	4.2%
1	1128	4.2%
6	1124	4.2%
7	1104	4.1%
8	1076	4.0%
Other values (29)	7528	28.1%

Most occurring characters

Value	Count	Frequency (%)
R	8897	27.3%
1	7724	23.7%
2	2094	6.4%
3	1861	5.7%
4	1744	5.4%
5	1660	5.1%
6	1557	4.8%
7	1441	4.4%
F	1368	4.2%
8	1300	4.0%
Other values (6)	2917	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21612	66.4%
Uppercase Letter	10951	33.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7724	35.7%
2	2094	9.7%
3	1861	8.6%
4	1744	8.1%
5	1660	7.7%
6	1557	7.2%
7	1441	6.7%
8	1300	6.0%
9	1180	5.5%
0	1051	4.9%

Uppercase Letter

Value	Count	Frequency (%)
R	8897	81.2%
F	1368	12.5%
W	336	3.1%
N	190	1.7%
D	151	1.4%
E	9	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	21612	66.4%
Latin	10951	33.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7724	35.7%
2	2094	9.7%
3	1861	8.6%
4	1744	8.1%
5	1660	7.7%
6	1557	7.2%
7	1441	6.7%
8	1300	6.0%
9	1180	5.5%
0	1051	4.9%

Latin

Value	Count	Frequency (%)
R	8897	81.2%
F	1368	12.5%
W	336	3.1%
N	190	1.7%
D	151	1.4%
E	9	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32563	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	8897	27.3%
1	7724	23.7%
2	2094	6.4%
3	1861	5.7%
4	1744	5.4%
5	1660	5.1%
6	1557	4.8%
7	1441	4.4%
F	1368	4.2%
8	1300	4.0%
Other values (6)	2917	9.0%

positionOrder
Real number (ℝ)

High correlation

Distinct	39
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.794051

Minimum	1
Maximum	39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	12
Q3	18
95-th percentile	26
Maximum	39
Range	38
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.6659506
Coefficient of variation (CV)	0.59918089
Kurtosis	-0.47435927
Mean	12.794051
Median Absolute Deviation (MAD)	6
Skewness	0.39938197
Sum	342356
Variance	58.766799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
3	1135	4.2%
4	1135	4.2%
2	1134	4.2%
11	1133	4.2%
5	1132	4.2%
6	1132	4.2%
7	1132	4.2%
8	1132	4.2%
9	1131	4.2%
10	1130	4.2%
Other values (29)	15433	57.7%

Value	Count	Frequency (%)
1	1128	4.2%
2	1134	4.2%
3	1135	4.2%
4	1135	4.2%
5	1132	4.2%
6	1132	4.2%
7	1132	4.2%
8	1132	4.2%
9	1131	4.2%
10	1130	4.2%

Value	Count	Frequency (%)
39	13	< 0.1%
38	17	0.1%
37	17	0.1%
36	18	0.1%
35	29	0.1%
34	46	0.2%
33	65	0.2%
32	79	0.3%
31	117	0.4%
30	156	0.6%

points
Real number (ℝ)

High correlation Zeros

Distinct	39
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9876322

Minimum	0
Maximum	50
Zeros	18589
Zeros (%)	69.5%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	10
Maximum	50
Range	50
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	4.3512089
Coefficient of variation (CV)	2.1891419
Kurtosis	10.733137
Mean	1.9876322
Median Absolute Deviation (MAD)	0
Skewness	3.0441067
Sum	53187.05
Variance	18.933019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	18589	69.5%
2	1127	4.2%
4	1111	4.2%
6	1090	4.1%
1	1066	4.0%
3	823	3.1%
10	613	2.3%
8	474	1.8%
9	444	1.7%
12	293	1.1%
Other values (29)	1129	4.2%

Value	Count	Frequency (%)
0	18589	69.5%
0.5	6	< 0.1%
1	1066	4.0%
1.33	3	< 0.1%
1.5	17	0.1%
2	1127	4.2%
2.5	1	< 0.1%
3	823	3.1%
3.14	1	< 0.1%
3.5	1	< 0.1%

Value	Count	Frequency (%)
50	1	< 0.1%
36	1	< 0.1%
30	1	< 0.1%
26	37	0.1%
25	266	1.0%
24	1	< 0.1%
20	1	< 0.1%
19	23	0.1%
18	280	1.0%
16	13	< 0.1%

laps
Real number (ℝ)

High correlation Zeros

Distinct	172
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.301768

Minimum	0
Maximum	200
Zeros	2532
Zeros (%)	9.5%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	23
median	53
Q3	66
95-th percentile	79
Maximum	200
Range	200
Interquartile range (IQR)	43

Descriptive statistics

Standard deviation	29.496557
Coefficient of variation (CV)	0.63705034
Kurtosis	3.6908804
Mean	46.301768
Median Absolute Deviation (MAD)	17
Skewness	0.69643443
Sum	1238989
Variance	870.04687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2532	9.5%
70	1000	3.7%
53	937	3.5%
52	821	3.1%
56	809	3.0%
57	715	2.7%
69	688	2.6%
71	658	2.5%
55	589	2.2%
58	567	2.1%
Other values (162)	17443	65.2%

Value	Count	Frequency (%)
0	2532	9.5%
1	308	1.2%
2	228	0.9%
3	199	0.7%
4	183	0.7%
5	197	0.7%
6	183	0.7%
7	167	0.6%
8	188	0.7%
9	178	0.7%

Value	Count	Frequency (%)
200	123	0.5%
199	4	< 0.1%
197	5	< 0.1%
196	15	0.1%
195	4	< 0.1%
194	4	< 0.1%
193	7	< 0.1%
192	1	< 0.1%
191	8	< 0.1%
190	2	< 0.1%

time_x
Text

Distinct	7411
Distinct (%)	27.7%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	11
Median length	2
Mean length	3.6445308
Min length	2

Characters and Unicode

Total characters	97524
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7167 ?
Unique (%)	26.8%

Sample

1st row	2:13:23.6
2nd row	+2.6
3rd row	+52.0
4th row	\N
5th row	\N

Value	Count	Frequency (%)
n	19079	71.3%
8:22.19	5	< 0.1%
5.7	4	< 0.1%
1:29.6	4	< 0.1%
0.7	4	< 0.1%
46.2	4	< 0.1%
31.8	3	< 0.1%
20.2	3	< 0.1%
52.0	3	< 0.1%
14.1	3	< 0.1%
Other values (7401)	7647	28.6%

Most occurring characters

Value	Count	Frequency (%)
\	19079	19.6%
N	19079	19.6%
.	7679	7.9%
1	7447	7.6%
+	6552	6.7%
2	4763	4.9%
3	4583	4.7%
:	4446	4.6%
4	4210	4.3%
5	4006	4.1%
Other values (5)	15680	16.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	40689	41.7%
Other Punctuation	31204	32.0%
Uppercase Letter	19079	19.6%
Math Symbol	6552	6.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7447	18.3%
2	4763	11.7%
3	4583	11.3%
4	4210	10.3%
5	4006	9.8%
0	3858	9.5%
6	3004	7.4%
9	2956	7.3%
7	2935	7.2%
8	2927	7.2%

Other Punctuation

Value	Count	Frequency (%)
\	19079	61.1%
.	7679	24.6%
:	4446	14.2%

Uppercase Letter

Value	Count	Frequency (%)
N	19079	100.0%

Math Symbol

Value	Count	Frequency (%)
+	6552	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	78445	80.4%
Latin	19079	19.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	19079	24.3%
.	7679	9.8%
1	7447	9.5%
+	6552	8.4%
2	4763	6.1%
3	4583	5.8%
:	4446	5.7%
4	4210	5.4%
5	4006	5.1%
0	3858	4.9%
Other values (4)	11822	15.1%

Latin

Value	Count	Frequency (%)
N	19079	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97524	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	19079	19.6%
N	19079	19.6%
.	7679	7.9%
1	7447	7.6%
+	6552	6.7%
2	4763	4.9%
3	4583	4.7%
:	4446	4.6%
4	4210	4.3%
5	4006	4.1%
Other values (5)	15680	16.1%

milliseconds
Text

Distinct	7639
Distinct (%)	28.5%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	8
Median length	2
Mean length	3.4447476
Min length	2

Characters and Unicode

Total characters	92178
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7600 ?
Unique (%)	28.4%

Sample

1st row	8003600
2nd row	8006200
3rd row	8055600
4th row	\N
5th row	\N

Value	Count	Frequency (%)
n	19079	71.3%
14259460	5	< 0.1%
10928200	3	< 0.1%
5942789	2	< 0.1%
5350182	2	< 0.1%
5808819	2	< 0.1%
8627000	2	< 0.1%
5262136	2	< 0.1%
5342067	2	< 0.1%
11197800	2	< 0.1%
Other values (7629)	7658	28.6%

Most occurring characters

Value	Count	Frequency (%)
\	19079	20.7%
N	19079	20.7%
5	8471	9.2%
0	6883	7.5%
6	6051	6.6%
4	5063	5.5%
7	4891	5.3%
1	4654	5.0%
2	4583	5.0%
8	4562	4.9%
Other values (2)	8862	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	54020	58.6%
Other Punctuation	19079	20.7%
Uppercase Letter	19079	20.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	8471	15.7%
0	6883	12.7%
6	6051	11.2%
4	5063	9.4%
7	4891	9.1%
1	4654	8.6%
2	4583	8.5%
8	4562	8.4%
3	4461	8.3%
9	4401	8.1%

Other Punctuation

Value	Count	Frequency (%)
\	19079	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	19079	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	73099	79.3%
Latin	19079	20.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	19079	26.1%
5	8471	11.6%
0	6883	9.4%
6	6051	8.3%
4	5063	6.9%
7	4891	6.7%
1	4654	6.4%
2	4583	6.3%
8	4562	6.2%
3	4461	6.1%

Latin

Value	Count	Frequency (%)
N	19079	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92178	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	19079	20.7%
N	19079	20.7%
5	8471	9.2%
0	6883	7.5%
6	6051	6.6%
4	5063	5.5%
7	4891	5.3%
1	4654	5.0%
2	4583	5.0%
8	4562	4.9%
Other values (2)	8862	9.6%

fastestLap
Text

Distinct	81
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	2
Median length	2
Mean length	1.9855749
Min length	1

Characters and Unicode

Total characters	53132
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Value	Count	Frequency (%)
n	18507	69.2%
50	309	1.2%
52	289	1.1%
53	287	1.1%
51	275	1.0%
48	230	0.9%
44	224	0.8%
55	220	0.8%
49	219	0.8%
43	217	0.8%
Other values (71)	5982	22.4%

Most occurring characters

Value	Count	Frequency (%)
\	18507	34.8%
N	18507	34.8%
5	2988	5.6%
4	2917	5.5%
3	2035	3.8%
6	1748	3.3%
2	1580	3.0%
1	1436	2.7%
7	1016	1.9%
0	818	1.5%
Other values (2)	1580	3.0%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	18507	34.8%
Uppercase Letter	18507	34.8%
Decimal Number	16118	30.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	2988	18.5%
4	2917	18.1%
3	2035	12.6%
6	1748	10.8%
2	1580	9.8%
1	1436	8.9%
7	1016	6.3%
0	818	5.1%
9	800	5.0%
8	780	4.8%

Other Punctuation

Value	Count	Frequency (%)
\	18507	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	18507	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	34625	65.2%
Latin	18507	34.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	18507	53.4%
5	2988	8.6%
4	2917	8.4%
3	2035	5.9%
6	1748	5.0%
2	1580	4.6%
1	1436	4.1%
7	1016	2.9%
0	818	2.4%
9	800	2.3%

Latin

Value	Count	Frequency (%)
N	18507	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	18507	34.8%
N	18507	34.8%
5	2988	5.6%
4	2917	5.5%
3	2035	3.8%
6	1748	3.3%
2	1580	3.0%
1	1436	2.7%
7	1016	1.9%
0	818	1.5%
Other values (2)	1580	3.0%

rank
Categorical

Imbalance

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

\N	18249
2	410
3	410
5	410
4	410
Other values (21)	6870

Length

Max length	2
Median length	2
Mean length	1.852573
Min length	1

Characters and Unicode

Total characters	49573
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Common Values

Value	Count	Frequency (%)
\N	18249	68.2%
2	410	1.5%
3	410	1.5%
5	410	1.5%
4	410	1.5%
6	410	1.5%
1	410	1.5%
7	409	1.5%
9	409	1.5%
11	409	1.5%
Other values (16)	4823	18.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	18249	68.2%
2	410	1.5%
3	410	1.5%
5	410	1.5%
4	410	1.5%
6	410	1.5%
1	410	1.5%
7	409	1.5%
9	409	1.5%
11	409	1.5%
Other values (16)	4823	18.0%

Most occurring characters

Value	Count	Frequency (%)
\	18249	36.8%
N	18249	36.8%
1	4934	10.0%
2	1481	3.0%
0	955	1.9%
3	861	1.7%
4	846	1.7%
5	817	1.6%
6	816	1.6%
7	809	1.6%
Other values (2)	1556	3.1%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	18249	36.8%
Uppercase Letter	18249	36.8%
Decimal Number	13075	26.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4934	37.7%
2	1481	11.3%
0	955	7.3%
3	861	6.6%
4	846	6.5%
5	817	6.2%
6	816	6.2%
7	809	6.2%
8	799	6.1%
9	757	5.8%

Other Punctuation

Value	Count	Frequency (%)
\	18249	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	18249	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31324	63.2%
Latin	18249	36.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	18249	58.3%
1	4934	15.8%
2	1481	4.7%
0	955	3.0%
3	861	2.7%
4	846	2.7%
5	817	2.6%
6	816	2.6%
7	809	2.6%
8	799	2.6%

Latin

Value	Count	Frequency (%)
N	18249	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49573	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	18249	36.8%
N	18249	36.8%
1	4934	10.0%
2	1481	3.0%
0	955	1.9%
3	861	1.7%
4	846	1.7%
5	817	1.6%
6	816	1.6%
7	809	1.6%
Other values (2)	1556	3.1%

fastestLapTime
Text

Distinct	7474
Distinct (%)	27.9%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	8
Median length	2
Mean length	3.8502934
Min length	2

Characters and Unicode

Total characters	103030
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6759 ?
Unique (%)	25.3%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Value	Count	Frequency (%)
n	18507	69.2%
1:17.495	4	< 0.1%
1:43.026	4	< 0.1%
1:18.262	4	< 0.1%
1:14.117	4	< 0.1%
1:18.904	4	< 0.1%
1:21.134	3	< 0.1%
1:23.488	3	< 0.1%
1:37.036	3	< 0.1%
1:19.820	3	< 0.1%
Other values (7464)	8220	30.7%

Most occurring characters

Value	Count	Frequency (%)
\	18507	18.0%
N	18507	18.0%
1	13080	12.7%
:	8252	8.0%
.	8252	8.0%
2	5518	5.4%
3	5450	5.3%
4	4681	4.5%
5	3759	3.6%
0	3523	3.4%
Other values (4)	13501	13.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	49512	48.1%
Other Punctuation	35011	34.0%
Uppercase Letter	18507	18.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13080	26.4%
2	5518	11.1%
3	5450	11.0%
4	4681	9.5%
5	3759	7.6%
0	3523	7.1%
7	3432	6.9%
6	3384	6.8%
8	3365	6.8%
9	3320	6.7%

Other Punctuation

Value	Count	Frequency (%)
\	18507	52.9%
:	8252	23.6%
.	8252	23.6%

Uppercase Letter

Value	Count	Frequency (%)
N	18507	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	84523	82.0%
Latin	18507	18.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	18507	21.9%
1	13080	15.5%
:	8252	9.8%
.	8252	9.8%
2	5518	6.5%
3	5450	6.4%
4	4681	5.5%
5	3759	4.4%
0	3523	4.2%
7	3432	4.1%
Other values (3)	10069	11.9%

Latin

Value	Count	Frequency (%)
N	18507	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103030	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	18507	18.0%
N	18507	18.0%
1	13080	12.7%
:	8252	8.0%
.	8252	8.0%
2	5518	5.4%
3	5450	5.3%
4	4681	4.5%
5	3759	3.6%
0	3523	3.4%
Other values (4)	13501	13.1%

fastestLapSpeed
Text

Distinct	7725
Distinct (%)	28.9%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	7
Median length	2
Mean length	3.5418364
Min length	2

Characters and Unicode

Total characters	94776
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7225 ?
Unique (%)	27.0%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Value	Count	Frequency (%)
n	18507	69.2%
207.069	4	< 0.1%
200.642	3	< 0.1%
194.706	3	< 0.1%
220.611	3	< 0.1%
208.575	3	< 0.1%
222.592	3	< 0.1%
200.091	3	< 0.1%
207.249	3	< 0.1%
194.610	3	< 0.1%
Other values (7715)	8224	30.7%

Most occurring characters

Value	Count	Frequency (%)
\	18507	19.5%
N	18507	19.5%
2	9324	9.8%
.	8252	8.7%
1	7848	8.3%
0	5231	5.5%
9	4751	5.0%
3	3987	4.2%
8	3962	4.2%
5	3737	3.9%
Other values (3)	10670	11.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	49510	52.2%
Other Punctuation	26759	28.2%
Uppercase Letter	18507	19.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	9324	18.8%
1	7848	15.9%
0	5231	10.6%
9	4751	9.6%
3	3987	8.1%
8	3962	8.0%
5	3737	7.5%
6	3619	7.3%
4	3610	7.3%
7	3441	7.0%

Other Punctuation

Value	Count	Frequency (%)
\	18507	69.2%
.	8252	30.8%

Uppercase Letter

Value	Count	Frequency (%)
N	18507	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	76269	80.5%
Latin	18507	19.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	18507	24.3%
2	9324	12.2%
.	8252	10.8%
1	7848	10.3%
0	5231	6.9%
9	4751	6.2%
3	3987	5.2%
8	3962	5.2%
5	3737	4.9%
6	3619	4.7%
Other values (2)	7051	9.2%

Latin

Value	Count	Frequency (%)
N	18507	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94776	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	18507	19.5%
N	18507	19.5%
2	9324	9.8%
.	8252	8.7%
1	7848	8.3%
0	5231	5.5%
9	4751	5.0%
3	3987	4.2%
8	3962	4.2%
5	3737	3.9%
Other values (3)	10670	11.3%

statusId
Real number (ℝ)

High correlation

Distinct	137
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.224971

Minimum	1
Maximum	141
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	10
Q3	14
95-th percentile	81
Maximum	141
Range	140
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	26.026104
Coefficient of variation (CV)	1.510952
Kurtosis	4.1957953
Mean	17.224971
Median Absolute Deviation (MAD)	9
Skewness	2.2384412
Sum	460923
Variance	677.35809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	7674	28.7%
11	4037	15.1%
5	2026	7.6%
12	1613	6.0%
3	1062	4.0%
81	1025	3.8%
4	854	3.2%
6	810	3.0%
20	795	3.0%
13	731	2.7%
Other values (127)	6132	22.9%

Value	Count	Frequency (%)
1	7674	28.7%
2	147	0.5%
3	1062	4.0%
4	854	3.2%
5	2026	7.6%
6	810	3.0%
7	321	1.2%
8	214	0.8%
9	139	0.5%
10	316	1.2%

Value	Count	Frequency (%)
141	1	< 0.1%
140	4	< 0.1%
139	3	< 0.1%
138	1	< 0.1%
137	2	< 0.1%
136	1	< 0.1%
135	1	< 0.1%
132	5	< 0.1%
131	42	0.2%
130	60	0.2%

driverRef
Text

Distinct	861
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Length

Max length	18
Median length	16
Mean length	7.4076759
Min length	3

Characters and Unicode

Total characters	198222
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	174 ?
Unique (%)	0.7%

Sample

1st row	farina
2nd row	fagioli
3rd row	reg_parnell
4th row	cabantous
5th row	rosier

Value	Count	Frequency (%)
alonso	404	1.5%
hamilton	356	1.3%
raikkonen	352	1.3%
barrichello	326	1.2%
button	309	1.2%
michael_schumacher	308	1.2%
vettel	300	1.1%
perez	283	1.1%
massa	271	1.0%
ricciardo	257	1.0%
Other values (851)	23593	88.2%

Most occurring characters

Value	Count	Frequency (%)
e	21346	10.8%
a	19711	9.9%
r	16846	8.5%
i	14962	7.5%
n	14720	7.4%
l	14172	7.1%
o	12727	6.4%
s	11987	6.0%
t	10775	5.4%
c	6582	3.3%
Other values (20)	54394	27.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	195933	98.8%
Connector Punctuation	2266	1.1%
Dash Punctuation	20	< 0.1%
Uppercase Letter	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	21346	10.9%
a	19711	10.1%
r	16846	8.6%
i	14962	7.6%
n	14720	7.5%
l	14172	7.2%
o	12727	6.5%
s	11987	6.1%
t	10775	5.5%
c	6582	3.4%
Other values (16)	52105	26.6%

Uppercase Letter

Value	Count	Frequency (%)
C	2	66.7%
B	1	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	2266	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	195936	98.8%
Common	2286	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	21346	10.9%
a	19711	10.1%
r	16846	8.6%
i	14962	7.6%
n	14720	7.5%
l	14172	7.2%
o	12727	6.5%
s	11987	6.1%
t	10775	5.5%
c	6582	3.4%
Other values (18)	52108	26.6%

Common

Value	Count	Frequency (%)
_	2266	99.1%
-	20	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	21346	10.8%
a	19711	9.9%
r	16846	8.5%
i	14962	7.5%
n	14720	7.4%
l	14172	7.1%
o	12727	6.4%
s	11987	6.0%
t	10775	5.4%
c	6582	3.3%
Other values (20)	54394	27.4%

driver_number
Categorical

High correlation Imbalance

Distinct	49
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

\N	20198
14	404
22	399
44	356
7	352
Other values (44)	5050

Length

Max length	2
Median length	2
Mean length	1.9358347
Min length	1

Characters and Unicode

Total characters	51801
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Common Values

Value	Count	Frequency (%)
\N	20198	75.5%
14	404	1.5%
22	399	1.5%
44	356	1.3%
7	352	1.3%
5	300	1.1%
11	283	1.1%
19	271	1.0%
6	267	1.0%
3	257	1.0%
Other values (39)	3672	13.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	20198	75.5%
14	404	1.5%
22	399	1.5%
44	356	1.3%
7	352	1.3%
5	300	1.1%
11	283	1.1%
19	271	1.0%
6	267	1.0%
3	257	1.0%
Other values (39)	3672	13.7%

Most occurring characters

Value	Count	Frequency (%)
\	20198	39.0%
N	20198	39.0%
1	2233	4.3%
2	1789	3.5%
4	1499	2.9%
3	1246	2.4%
7	1154	2.2%
9	823	1.6%
5	803	1.6%
8	678	1.3%
Other values (2)	1180	2.3%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	20198	39.0%
Uppercase Letter	20198	39.0%
Decimal Number	11405	22.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2233	19.6%
2	1789	15.7%
4	1499	13.1%
3	1246	10.9%
7	1154	10.1%
9	823	7.2%
5	803	7.0%
8	678	5.9%
6	657	5.8%
0	523	4.6%

Other Punctuation

Value	Count	Frequency (%)
\	20198	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	20198	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	31603	61.0%
Latin	20198	39.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
\	20198	63.9%
1	2233	7.1%
2	1789	5.7%
4	1499	4.7%
3	1246	3.9%
7	1154	3.7%
9	823	2.6%
5	803	2.5%
8	678	2.1%
6	657	2.1%

Latin

Value	Count	Frequency (%)
N	20198	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51801	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
\	20198	39.0%
N	20198	39.0%
1	2233	4.3%
2	1789	3.5%
4	1499	2.9%
3	1246	2.4%
7	1154	2.2%
9	823	1.6%
5	803	1.6%
8	678	1.3%
Other values (2)	1180	2.3%

code
Text

Distinct	98
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	3
Median length	2
Mean length	2.380358
Min length	2

Characters and Unicode

Total characters	63696
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Value	Count	Frequency (%)
n	16581	62.0%
alo	404	1.5%
ham	356	1.3%
msc	352	1.3%
rai	352	1.3%
bar	326	1.2%
but	309	1.2%
vet	300	1.1%
per	283	1.1%
mas	271	1.0%
Other values (88)	7225	27.0%

Most occurring characters

Value	Count	Frequency (%)
N	17007	26.7%
\	16581	26.0%
A	3273	5.1%
R	3055	4.8%
S	2407	3.8%
O	2376	3.7%
I	2027	3.2%
T	1827	2.9%
U	1778	2.8%
E	1773	2.8%
Other values (15)	11592	18.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	47115	74.0%
Other Punctuation	16581	26.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	17007	36.1%
A	3273	6.9%
R	3055	6.5%
S	2407	5.1%
O	2376	5.0%
I	2027	4.3%
T	1827	3.9%
U	1778	3.8%
E	1773	3.8%
L	1694	3.6%
Other values (14)	9898	21.0%

Other Punctuation

Value	Count	Frequency (%)
\	16581	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47115	74.0%
Common	16581	26.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	17007	36.1%
A	3273	6.9%
R	3055	6.5%
S	2407	5.1%
O	2376	5.0%
I	2027	4.3%
T	1827	3.9%
U	1778	3.8%
E	1773	3.8%
L	1694	3.6%
Other values (14)	9898	21.0%

Common

Value	Count	Frequency (%)
\	16581	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	63696	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	17007	26.7%
\	16581	26.0%
A	3273	5.1%
R	3055	4.8%
S	2407	3.8%
O	2376	3.7%
I	2027	3.2%
T	1827	2.9%
U	1778	2.8%
E	1773	2.8%
Other values (15)	11592	18.2%

forename
Text

Distinct	478
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Length

Max length	17
Median length	12
Mean length	5.8056729
Min length	2

Characters and Unicode

Total characters	155354
Distinct characters	65
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	0.2%

Sample

1st row	Nino
2nd row	Luigi
3rd row	Reg
4th row	Yves
5th row	Louis

Value	Count	Frequency (%)
carlos	439	1.6%
nico	436	1.6%
fernando	404	1.5%
jacques	360	1.3%
lewis	356	1.3%
kimi	352	1.3%
michael	334	1.2%
rubens	326	1.2%
david	318	1.2%
john	311	1.2%
Other values (472)	23199	86.5%

Most occurring characters

Value	Count	Frequency (%)
e	15546	10.0%
i	15265	9.8%
a	15067	9.7%
n	12513	8.1%
r	12230	7.9%
o	10406	6.7%
l	6660	4.3%
c	5172	3.3%
s	5079	3.3%
t	4174	2.7%
Other values (55)	53242	34.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	127198	81.9%
Uppercase Letter	27455	17.7%
Dash Punctuation	625	0.4%
Space Separator	76	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	15546	12.2%
i	15265	12.0%
a	15067	11.8%
n	12513	9.8%
r	12230	9.6%
o	10406	8.2%
l	6660	5.2%
c	5172	4.1%
s	5079	4.0%
t	4174	3.3%
Other values (26)	25086	19.7%

Uppercase Letter

Value	Count	Frequency (%)
J	4121	15.0%
M	2516	9.2%
P	2028	7.4%
R	2021	7.4%
A	1800	6.6%
N	1519	5.5%
D	1432	5.2%
G	1402	5.1%
C	1316	4.8%
S	1267	4.6%
Other values (17)	8033	29.3%

Dash Punctuation

Value	Count	Frequency (%)
-	625	100.0%

Space Separator

Value	Count	Frequency (%)
	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	154653	99.5%
Common	701	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	15546	10.1%
i	15265	9.9%
a	15067	9.7%
n	12513	8.1%
r	12230	7.9%
o	10406	6.7%
l	6660	4.3%
c	5172	3.3%
s	5079	3.3%
t	4174	2.7%
Other values (53)	52541	34.0%

Common

Value	Count	Frequency (%)
-	625	89.2%
	76	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	154531	99.5%
None	823	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	15546	10.1%
i	15265	9.9%
a	15067	9.8%
n	12513	8.1%
r	12230	7.9%
o	10406	6.7%
l	6660	4.3%
c	5172	3.3%
s	5079	3.3%
t	4174	2.7%
Other values (42)	52419	33.9%

None

Value	Count	Frequency (%)
é	342	41.6%
É	175	21.3%
ç	84	10.2%
í	80	9.7%
á	58	7.0%
ô	40	4.9%
ó	21	2.6%
ú	6	0.7%
è	5	0.6%
ü	4	0.5%
Other values (3)	8	1.0%

surname
Text

Distinct	802
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Length

Max length	23
Median length	16
Mean length	7.061512
Min length	3

Characters and Unicode

Total characters	188959
Distinct characters	66
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	156 ?
Unique (%)	0.6%

Sample

1st row	Farina
2nd row	Fagioli
3rd row	Parnell
4th row	Cabantous
5th row	Rosier

Value	Count	Frequency (%)
de	601	2.2%
schumacher	532	1.9%
alonso	404	1.5%
hamilton	361	1.3%
hill	353	1.3%
räikkönen	352	1.3%
rosberg	334	1.2%
barrichello	326	1.2%
verstappen	316	1.1%
button	309	1.1%
Other values (799)	23958	86.0%

Most occurring characters

Value	Count	Frequency (%)
e	20037	10.6%
a	16239	8.6%
r	14177	7.5%
i	13824	7.3%
n	13583	7.2%
l	12420	6.6%
o	11530	6.1%
t	9820	5.2%
s	8690	4.6%
u	5735	3.0%
Other values (56)	62904	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	160598	85.0%
Uppercase Letter	27134	14.4%
Space Separator	1087	0.6%
Dash Punctuation	80	< 0.1%
Other Punctuation	60	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20037	12.5%
a	16239	10.1%
r	14177	8.8%
i	13824	8.6%
n	13583	8.5%
l	12420	7.7%
o	11530	7.2%
t	9820	6.1%
s	8690	5.4%
u	5735	3.6%
Other values (26)	34543	21.5%

Uppercase Letter

Value	Count	Frequency (%)
B	2969	10.9%
S	2947	10.9%
P	2161	8.0%
M	2094	7.7%
R	2000	7.4%
H	1983	7.3%
A	1898	7.0%
G	1573	5.8%
C	1338	4.9%
L	1169	4.3%
Other values (16)	7002	25.8%

Other Punctuation

Value	Count	Frequency (%)
.	31	51.7%
'	29	48.3%

Space Separator

Value	Count	Frequency (%)
	1087	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	187732	99.4%
Common	1227	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20037	10.7%
a	16239	8.7%
r	14177	7.6%
i	13824	7.4%
n	13583	7.2%
l	12420	6.6%
o	11530	6.1%
t	9820	5.2%
s	8690	4.6%
u	5735	3.1%
Other values (52)	61677	32.9%

Common

Value	Count	Frequency (%)
	1087	88.6%
-	80	6.5%
.	31	2.5%
'	29	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	187216	99.1%
None	1743	0.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20037	10.7%
a	16239	8.7%
r	14177	7.6%
i	13824	7.4%
n	13583	7.3%
l	12420	6.6%
o	11530	6.2%
t	9820	5.2%
s	8690	4.6%
u	5735	3.1%
Other values (45)	61161	32.7%

None

Value	Count	Frequency (%)
ä	587	33.7%
é	421	24.2%
ö	352	20.2%
ü	230	13.2%
í	60	3.4%
á	32	1.8%
è	32	1.8%
ó	12	0.7%
É	12	0.7%
ø	4	0.2%

dob
Date

Distinct	843
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	209.2 KiB

Minimum	1896-12-28 00:00:00
Maximum	2005-05-08 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

driver_nationality
Categorical

High correlation

Distinct	43
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

British	4559
Italian	3418
French	3095
German	2430
Brazilian	1953
Other values (38)	11304

Length

Max length	17
Median length	16
Mean length	7.2786726
Min length	4

Characters and Unicode

Total characters	194770
Distinct characters	45
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Italian
2nd row	Italian
3rd row	British
4th row	French
5th row	French

Common Values

Value	Count	Frequency (%)
British	4559	17.0%
Italian	3418	12.8%
French	3095	11.6%
German	2430	9.1%
Brazilian	1953	7.3%
American	1315	4.9%
Finnish	1193	4.5%
Spanish	913	3.4%
Australian	893	3.3%
Austrian	690	2.6%
Other values (33)	6300	23.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
british	4559	16.7%
italian	3418	12.5%
french	3095	11.3%
german	2435	8.9%
brazilian	1953	7.1%
american	1315	4.8%
finnish	1193	4.4%
spanish	913	3.3%
australian	893	3.3%
austrian	690	2.5%
Other values (35)	6917	25.3%

Most occurring characters

Value	Count	Frequency (%)
i	26941	13.8%
a	24053	12.3%
n	22577	11.6%
r	16162	8.3%
e	12906	6.6%
h	11691	6.0%
s	11666	6.0%
t	10812	5.6%
l	7663	3.9%
B	7103	3.6%
Other values (35)	43196	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	166750	85.6%
Uppercase Letter	27385	14.1%
Space Separator	631	0.3%
Dash Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	26941	16.2%
a	24053	14.4%
n	22577	13.5%
r	16162	9.7%
e	12906	7.7%
h	11691	7.0%
s	11666	7.0%
t	10812	6.5%
l	7663	4.6%
c	5642	3.4%
Other values (13)	16637	10.0%

Uppercase Letter

Value	Count	Frequency (%)
B	7103	25.9%
F	4288	15.7%
I	3585	13.1%
A	3494	12.8%
G	2435	8.9%
S	2129	7.8%
D	757	2.8%
C	731	2.7%
J	681	2.5%
M	662	2.4%
Other values (10)	1520	5.6%

Space Separator

Value	Count	Frequency (%)
	631	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	194135	99.7%
Common	635	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	26941	13.9%
a	24053	12.4%
n	22577	11.6%
r	16162	8.3%
e	12906	6.6%
h	11691	6.0%
s	11666	6.0%
t	10812	5.6%
l	7663	3.9%
B	7103	3.7%
Other values (33)	42561	21.9%

Common

Value	Count	Frequency (%)
	631	99.4%
-	4	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	194770	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	26941	13.8%
a	24053	12.3%
n	22577	11.6%
r	16162	8.3%
e	12906	6.6%
h	11691	6.0%
s	11666	6.0%
t	10812	5.6%
l	7663	3.9%
B	7103	3.6%
Other values (35)	43196	22.2%

constructorRef
Text

Distinct	211
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Length

Max length	20
Median length	18
Mean length	7.3007586
Min length	2

Characters and Unicode

Total characters	195361
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	0.1%

Sample

1st row	alfa
2nd row	alfa
3rd row	alfa
4th row	lago
5th row	lago

Value	Count	Frequency (%)
ferrari	2439	9.1%
mclaren	1923	7.2%
williams	1676	6.3%
tyrrell	881	3.3%
team_lotus	871	3.3%
sauber	837	3.1%
red_bull	788	2.9%
renault	787	2.9%
minardi	672	2.5%
brabham	662	2.5%
Other values (201)	15223	56.9%

Most occurring characters

Value	Count	Frequency (%)
r	27334	14.0%
a	23547	12.1%
e	17297	8.9%
l	15726	8.0%
i	13254	6.8%
o	11760	6.0%
s	11181	5.7%
m	10910	5.6%
t	10285	5.3%
n	7828	4.0%
Other values (19)	46239	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	189909	97.2%
Connector Punctuation	3721	1.9%
Dash Punctuation	1541	0.8%
Decimal Number	190	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	27334	14.4%
a	23547	12.4%
e	17297	9.1%
l	15726	8.3%
i	13254	7.0%
o	11760	6.2%
s	11181	5.9%
m	10910	5.7%
t	10285	5.4%
n	7828	4.1%
Other values (16)	40787	21.5%

Connector Punctuation

Value	Count	Frequency (%)
_	3721	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1541	100.0%

Decimal Number

Value	Count	Frequency (%)
1	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	189909	97.2%
Common	5452	2.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	27334	14.4%
a	23547	12.4%
e	17297	9.1%
l	15726	8.3%
i	13254	7.0%
o	11760	6.2%
s	11181	5.9%
m	10910	5.7%
t	10285	5.4%
n	7828	4.1%
Other values (16)	40787	21.5%

Common

Value	Count	Frequency (%)
_	3721	68.3%
-	1541	28.3%
1	190	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195361	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	27334	14.0%
a	23547	12.1%
e	17297	8.9%
l	15726	8.0%
i	13254	6.8%
o	11760	6.0%
s	11181	5.7%
m	10910	5.6%
t	10285	5.3%
n	7828	4.0%
Other values (19)	46239	23.7%

constructor_name
Text

Distinct	211
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Length

Max length	25
Median length	20
Mean length	7.6430734
Min length	2

Characters and Unicode

Total characters	204521
Distinct characters	53
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	0.1%

Sample

1st row	Alfa Romeo
2nd row	Alfa Romeo
3rd row	Alfa Romeo
4th row	Talbot-Lago
5th row	Talbot-Lago

Value	Count	Frequency (%)
ferrari	2439	7.5%
mclaren	1923	5.9%
williams	1676	5.2%
team	1479	4.6%
lotus	1101	3.4%
sauber	977	3.0%
tyrrell	881	2.7%
red	788	2.4%
bull	788	2.4%
renault	787	2.4%
Other values (217)	19508	60.3%

Most occurring characters

Value	Count	Frequency (%)
r	23687	11.6%
a	21980	10.7%
e	18135	8.9%
i	12784	6.3%
o	12495	6.1%
l	10955	5.4%
s	9303	4.5%
n	7765	3.8%
t	7120	3.5%
M	6277	3.1%
Other values (43)	74020	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	156777	76.7%
Uppercase Letter	39729	19.4%
Space Separator	5588	2.7%
Dash Punctuation	1623	0.8%
Decimal Number	798	0.4%
Other Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	23687	15.1%
a	21980	14.0%
e	18135	11.6%
i	12784	8.2%
o	12495	8.0%
l	10955	7.0%
s	9303	5.9%
n	7765	5.0%
t	7120	4.5%
u	5850	3.7%
Other values (16)	26703	17.0%

Uppercase Letter

Value	Count	Frequency (%)
M	6277	15.8%
L	4853	12.2%
F	4508	11.3%
R	4118	10.4%
T	3950	9.9%
B	3656	9.2%
A	2398	6.0%
S	2144	5.4%
W	2002	5.0%
C	1422	3.6%
Other values (12)	4401	11.1%

Other Punctuation

Value	Count	Frequency (%)
&	3	50.0%
;	3	50.0%

Space Separator

Value	Count	Frequency (%)
	5588	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1623	100.0%

Decimal Number

Value	Count	Frequency (%)
1	798	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196506	96.1%
Common	8015	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	23687	12.1%
a	21980	11.2%
e	18135	9.2%
i	12784	6.5%
o	12495	6.4%
l	10955	5.6%
s	9303	4.7%
n	7765	4.0%
t	7120	3.6%
M	6277	3.2%
Other values (38)	66005	33.6%

Common

Value	Count	Frequency (%)
	5588	69.7%
-	1623	20.2%
1	798	10.0%
&	3	< 0.1%
;	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	204521	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	23687	11.6%
a	21980	10.7%
e	18135	8.9%
i	12784	6.3%
o	12495	6.1%
l	10955	5.4%
s	9303	4.5%
n	7765	3.8%
t	7120	3.5%
M	6277	3.1%
Other values (43)	74020	36.2%

constructors_nationality
Categorical

Distinct	24
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

British	12248
Italian	5778
French	2415
Swiss	1296
German	1091
Other values (19)	3931

Length

Max length	13
Median length	7
Mean length	6.833925
Min length	5

Characters and Unicode

Total characters	182869
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	Swiss
2nd row	Swiss
3rd row	Swiss
4th row	French
5th row	French

Common Values

Value	Count	Frequency (%)
British	12248	45.8%
Italian	5778	21.6%
French	2415	9.0%
Swiss	1296	4.8%
German	1091	4.1%
American	887	3.3%
Austrian	788	2.9%
Japanese	521	1.9%
Irish	500	1.9%
Indian	424	1.6%
Other values (14)	811	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
british	12248	45.6%
italian	5778	21.5%
french	2415	9.0%
swiss	1296	4.8%
german	1092	4.1%
american	887	3.3%
austrian	788	2.9%
japanese	521	1.9%
irish	500	1.9%
indian	424	1.6%
Other values (17)	888	3.3%

Most occurring characters

Value	Count	Frequency (%)
i	35015	19.1%
t	18874	10.3%
r	18099	9.9%
s	17230	9.4%
a	17185	9.4%
h	15338	8.4%
n	13234	7.2%
B	12404	6.8%
I	6702	3.7%
l	6128	3.4%
Other values (28)	22660	12.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	155954	85.3%
Uppercase Letter	26837	14.7%
Space Separator	78	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	35015	22.5%
t	18874	12.1%
r	18099	11.6%
s	17230	11.0%
a	17185	11.0%
h	15338	9.8%
n	13234	8.5%
l	6128	3.9%
e	5456	3.5%
c	3363	2.2%
Other values (11)	6032	3.9%

Uppercase Letter

Value	Count	Frequency (%)
B	12404	46.2%
I	6702	25.0%
F	2415	9.0%
A	1684	6.3%
S	1420	5.3%
G	1092	4.1%
J	521	1.9%
M	191	0.7%
R	138	0.5%
C	81	0.3%
Other values (6)	189	0.7%

Space Separator

Value	Count	Frequency (%)
	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	182791	> 99.9%
Common	78	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	35015	19.2%
t	18874	10.3%
r	18099	9.9%
s	17230	9.4%
a	17185	9.4%
h	15338	8.4%
n	13234	7.2%
B	12404	6.8%
I	6702	3.7%
l	6128	3.4%
Other values (27)	22582	12.4%

Common

Value	Count	Frequency (%)
	78	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	182869	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	35015	19.1%
t	18874	10.3%
r	18099	9.9%
s	17230	9.4%
a	17185	9.4%
h	15338	8.4%
n	13234	7.2%
B	12404	6.8%
I	6702	3.7%
l	6128	3.4%
Other values (28)	22660	12.4%

year
Real number (ℝ)

Distinct	75
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1991.3944

Minimum	1950
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1950
5-th percentile	1956
Q1	1977
median	1991
Q3	2009
95-th percentile	2022
Maximum	2024
Range	74
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	19.952885
Coefficient of variation (CV)	0.010019555
Kurtosis	-0.93352649
Mean	1991.3944
Median Absolute Deviation (MAD)	16
Skewness	-0.18167295
Sum	53287722
Variance	398.11762
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1989	620	2.3%
1990	542	2.0%
1991	539	2.0%
1988	495	1.8%
2012	480	1.8%
2024	479	1.8%
1992	478	1.8%
1977	477	1.8%
1978	471	1.8%
1982	465	1.7%
Other values (65)	21713	81.1%

Value	Count	Frequency (%)
1950	160	0.6%
1951	179	0.7%
1952	215	0.8%
1953	246	0.9%
1954	230	0.9%
1955	180	0.7%
1956	190	0.7%
1957	171	0.6%
1958	241	0.9%
1959	195	0.7%

Value	Count	Frequency (%)
2024	479	1.8%
2023	440	1.6%
2022	440	1.6%
2021	440	1.6%
2020	340	1.3%
2019	420	1.6%
2018	420	1.6%
2017	400	1.5%
2016	462	1.7%
2015	378	1.4%

round
Real number (ℝ)

Distinct	24
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5111925

Minimum	1
Maximum	24
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	12
95-th percentile	17
Maximum	24
Range	23
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.070231
Coefficient of variation (CV)	0.59571335
Kurtosis	-0.72680562
Mean	8.5111925
Median Absolute Deviation (MAD)	4
Skewness	0.37134076
Sum	227751
Variance	25.707243
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
2	1840	6.9%
6	1811	6.8%
7	1809	6.8%
5	1802	6.7%
3	1793	6.7%
8	1741	6.5%
1	1738	6.5%
4	1736	6.5%
9	1625	6.1%
10	1535	5.7%
Other values (14)	9329	34.9%

Value	Count	Frequency (%)
1	1738	6.5%
2	1840	6.9%
3	1793	6.7%
4	1736	6.5%
5	1802	6.7%
6	1811	6.8%
7	1809	6.8%
8	1741	6.5%
9	1625	6.1%
10	1535	5.7%

Value	Count	Frequency (%)
24	20	0.1%
23	20	0.1%
22	80	0.3%
21	142	0.5%
20	186	0.7%
19	316	1.2%
18	376	1.4%
17	571	2.1%
16	1061	4.0%
15	1200	4.5%

circuitId
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.820808

Minimum	1
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	209.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	9
median	18
Q3	34
95-th percentile	70
Maximum	80
Range	79
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	19.112002
Coefficient of variation (CV)	0.80232384
Kurtosis	0.51475935
Mean	23.820808
Median Absolute Deviation (MAD)	11
Skewness	1.1486486
Sum	637421
Variance	365.26862
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14	1836	6.9%
6	1664	6.2%
9	1436	5.4%
13	1258	4.7%
7	1052	3.9%
20	976	3.6%
18	937	3.5%
10	935	3.5%
11	911	3.4%
70	901	3.4%
Other values (67)	14853	55.5%

Value	Count	Frequency (%)
1	577	2.2%
2	412	1.5%
3	440	1.6%
4	759	2.8%
5	192	0.7%
6	1664	6.2%
7	1052	3.9%
8	420	1.6%
9	1436	5.4%
10	935	3.5%

Value	Count	Frequency (%)
80	40	0.1%
79	60	0.2%
78	60	0.2%
77	80	0.3%
76	20	0.1%
75	40	0.1%
73	162	0.6%
71	163	0.6%
70	901	3.4%
69	246	0.9%

race_name
Text

Distinct	54
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Length

Max length	29
Median length	27
Mean length	18.891775
Min length	16

Characters and Unicode

Total characters	505525
Distinct characters	51
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	British Grand Prix
2nd row	British Grand Prix
3rd row	British Grand Prix
4th row	British Grand Prix
5th row	British Grand Prix

Value	Count	Frequency (%)
grand	26354	31.6%
prix	26354	31.6%
british	1873	2.2%
italian	1864	2.2%
monaco	1664	2.0%
german	1599	1.9%
belgian	1597	1.9%
french	1484	1.8%
canadian	1291	1.5%
spanish	1276	1.5%
Other values (58)	18029	21.6%

Most occurring characters

Value	Count	Frequency (%)
r	65905	13.0%
a	58280	11.5%
	56626	11.2%
n	52267	10.3%
i	49044	9.7%
d	29628	5.9%
G	27953	5.5%
P	27015	5.3%
x	26956	5.3%
e	13976	2.8%
Other values (41)	97875	19.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	364684	72.1%
Uppercase Letter	82960	16.4%
Space Separator	56626	11.2%
Decimal Number	1255	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	65905	18.1%
a	58280	16.0%
n	52267	14.3%
i	49044	13.4%
d	29628	8.1%
x	26956	7.4%
e	13976	3.8%
t	12365	3.4%
s	10139	2.8%
h	7490	2.1%
Other values (16)	38634	10.6%

Uppercase Letter

Value	Count	Frequency (%)
G	27953	33.7%
P	27015	32.6%
B	5033	6.1%
S	4619	5.6%
M	3386	4.1%
A	3375	4.1%
I	2339	2.8%
C	1793	2.2%
F	1484	1.8%
D	1320	1.6%
Other values (11)	4643	5.6%

Decimal Number

Value	Count	Frequency (%)
0	830	66.1%
5	405	32.3%
7	20	1.6%

Space Separator

Value	Count	Frequency (%)
	56626	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	447644	88.6%
Common	57881	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	65905	14.7%
a	58280	13.0%
n	52267	11.7%
i	49044	11.0%
d	29628	6.6%
G	27953	6.2%
P	27015	6.0%
x	26956	6.0%
e	13976	3.1%
t	12365	2.8%
Other values (37)	84255	18.8%

Common

Value	Count	Frequency (%)
	56626	97.8%
0	830	1.4%
5	405	0.7%
7	20	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	505445	> 99.9%
None	80	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	65905	13.0%
a	58280	11.5%
	56626	11.2%
n	52267	10.3%
i	49044	9.7%
d	29628	5.9%
G	27953	5.5%
P	27015	5.3%
x	26956	5.3%
e	13976	2.8%
Other values (40)	97795	19.3%

None

Value	Count	Frequency (%)
ã	80	100.0%

date
Date

Distinct	1125
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	209.2 KiB

Minimum	1950-05-13 00:00:00
Maximum	2024-12-08 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

time_y
Categorical

High correlation Imbalance

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

\N	18469
12:00:00	2458
13:00:00	1020
14:00:00	702
13:10:00	600
Other values (30)	3510

Length

Max length	8
Median length	2
Mean length	3.8588139
Min length	2

Characters and Unicode

Total characters	103258
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	\N
2nd row	\N
3rd row	\N
4th row	\N
5th row	\N

Common Values

Value	Count	Frequency (%)
\N	18469	69.0%
12:00:00	2458	9.2%
13:00:00	1020	3.8%
14:00:00	702	2.6%
13:10:00	600	2.2%
06:00:00	470	1.8%
19:00:00	270	1.0%
17:00:00	268	1.0%
05:00:00	266	1.0%
07:00:00	258	1.0%
Other values (25)	1978	7.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	18469	69.0%
12:00:00	2458	9.2%
13:00:00	1020	3.8%
14:00:00	702	2.6%
13:10:00	600	2.2%
06:00:00	470	1.8%
19:00:00	270	1.0%
17:00:00	268	1.0%
05:00:00	266	1.0%
07:00:00	258	1.0%
Other values (25)	1978	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	33243	32.2%
\	18469	17.9%
N	18469	17.9%
:	16580	16.1%
1	8196	7.9%
2	2676	2.6%
3	1922	1.9%
4	867	0.8%
6	750	0.7%
5	634	0.6%
Other values (3)	1452	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	49740	48.2%
Other Punctuation	35049	33.9%
Uppercase Letter	18469	17.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33243	66.8%
1	8196	16.5%
2	2676	5.4%
3	1922	3.9%
4	867	1.7%
6	750	1.5%
5	634	1.3%
7	606	1.2%
9	460	0.9%
8	386	0.8%

Other Punctuation

Value	Count	Frequency (%)
\	18469	52.7%
:	16580	47.3%

Uppercase Letter

Value	Count	Frequency (%)
N	18469	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	84789	82.1%
Latin	18469	17.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33243	39.2%
\	18469	21.8%
:	16580	19.6%
1	8196	9.7%
2	2676	3.2%
3	1922	2.3%
4	867	1.0%
6	750	0.9%
5	634	0.7%
7	606	0.7%
Other values (2)	846	1.0%

Latin

Value	Count	Frequency (%)
N	18469	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	103258	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33243	32.2%
\	18469	17.9%
N	18469	17.9%
:	16580	16.1%
1	8196	7.9%
2	2676	2.6%
3	1922	1.9%
4	867	0.8%
6	750	0.7%
5	634	0.6%
Other values (3)	1452	1.4%

url
URL

Distinct	1125
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

http://en.wikipedia.org/wiki/1954_Indianapolis_500	55
http://en.wikipedia.org/wiki/1953_Indianapolis_500	47
http://en.wikipedia.org/wiki/1989_Italian_Grand_Prix	39
http://en.wikipedia.org/wiki/1989_Canadian_Grand_Prix	39
http://en.wikipedia.org/wiki/1989_Australian_Grand_Prix	39
Other values (1120)	26540

Value	Count	Frequency (%)
http://en.wikipedia.org/wiki/1954_Indianapolis_500	55	0.2%
http://en.wikipedia.org/wiki/1953_Indianapolis_500	47	0.2%
http://en.wikipedia.org/wiki/1989_Italian_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1989_Canadian_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1989_Australian_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1961_Italian_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1989_Portuguese_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1989_Japanese_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1989_San_Marino_Grand_Prix	39	0.1%
http://en.wikipedia.org/wiki/1989_United_States_Grand_Prix	39	0.1%
Other values (1115)	26345	98.5%

Value	Count	Frequency (%)
http	25840	96.6%
https	919	3.4%

Value	Count	Frequency (%)
en.wikipedia.org	26759	100.0%

Value	Count	Frequency (%)
/wiki/1954_Indianapolis_500	55	0.2%
/wiki/1953_Indianapolis_500	47	0.2%
/wiki/1989_Italian_Grand_Prix	39	0.1%
/wiki/1989_Canadian_Grand_Prix	39	0.1%
/wiki/1989_Australian_Grand_Prix	39	0.1%
/wiki/1961_Italian_Grand_Prix	39	0.1%
/wiki/1989_Portuguese_Grand_Prix	39	0.1%
/wiki/1989_Japanese_Grand_Prix	39	0.1%
/wiki/1989_San_Marino_Grand_Prix	39	0.1%
/wiki/1989_United_States_Grand_Prix	39	0.1%
Other values (1115)	26345	98.5%

Value	Count	Frequency (%)
	26759	100.0%

Value	Count	Frequency (%)
	26759	100.0%

circuitRef
Text

Distinct	77
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Length

Max length	14
Median length	11
Mean length	8.3221346
Min length	3

Characters and Unicode

Total characters	222692
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	silverstone
2nd row	silverstone
3rd row	silverstone
4th row	silverstone
5th row	silverstone

Value	Count	Frequency (%)
monza	1836	6.9%
monaco	1664	6.2%
silverstone	1436	5.4%
spa	1258	4.7%
villeneuve	1052	3.9%
nurburgring	976	3.6%
interlagos	937	3.5%
hockenheimring	935	3.5%
hungaroring	911	3.4%
red_bull_ring	901	3.4%
Other values (67)	14853	55.5%

Most occurring characters

Value	Count	Frequency (%)
a	26475	11.9%
n	21419	9.6%
r	19119	8.6%
e	16942	7.6%
i	16940	7.6%
o	15879	7.1%
l	12392	5.6%
s	11161	5.0%
g	10267	4.6%
u	9055	4.1%
Other values (17)	63043	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	218075	97.9%
Connector Punctuation	4592	2.1%
Dash Punctuation	25	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	26475	12.1%
n	21419	9.8%
r	19119	8.8%
e	16942	7.8%
i	16940	7.8%
o	15879	7.3%
l	12392	5.7%
s	11161	5.1%
g	10267	4.7%
u	9055	4.2%
Other values (15)	58426	26.8%

Connector Punctuation

Value	Count	Frequency (%)
_	4592	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	218075	97.9%
Common	4617	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	26475	12.1%
n	21419	9.8%
r	19119	8.8%
e	16942	7.8%
i	16940	7.8%
o	15879	7.3%
l	12392	5.7%
s	11161	5.1%
g	10267	4.7%
u	9055	4.2%
Other values (15)	58426	26.8%

Common

Value	Count	Frequency (%)
_	4592	99.5%
-	25	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	222692	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	26475	11.9%
n	21419	9.6%
r	19119	8.6%
e	16942	7.6%
i	16940	7.6%
o	15879	7.1%
l	12392	5.6%
s	11161	5.0%
g	10267	4.6%
u	9055	4.1%
Other values (17)	63043	28.3%

circuit_name
Text

Distinct	77
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Length

Max length	37
Median length	29
Mean length	20.878471
Min length	4

Characters and Unicode

Total characters	558687
Distinct characters	58
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Silverstone Circuit
2nd row	Silverstone Circuit
3rd row	Silverstone Circuit
4th row	Silverstone Circuit
5th row	Silverstone Circuit

Value	Count	Frequency (%)
circuit	13029	17.5%
de	4348	5.8%
autódromo	2636	3.5%
autodromo	2631	3.5%
di	1836	2.5%
monza	1836	2.5%
nazionale	1836	2.5%
international	1790	2.4%
monaco	1664	2.2%
park	1604	2.2%
Other values (116)	41314	55.4%

Most occurring characters

Value	Count	Frequency (%)
i	50452	9.0%
	47765	8.5%
r	47750	8.5%
a	41905	7.5%
o	40163	7.2%
e	34907	6.2%
n	33908	6.1%
t	32395	5.8%
u	28405	5.1%
c	23365	4.2%
Other values (48)	177672	31.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	438629	78.5%
Uppercase Letter	69145	12.4%
Space Separator	47765	8.5%
Dash Punctuation	3148	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	50452	11.5%
r	47750	10.9%
a	41905	9.6%
o	40163	9.2%
e	34907	8.0%
n	33908	7.7%
t	32395	7.4%
u	28405	6.5%
c	23365	5.3%
l	18929	4.3%
Other values (22)	86450	19.7%

Uppercase Letter

Value	Count	Frequency (%)
C	15591	22.5%
A	6843	9.9%
S	6352	9.2%
M	5581	8.1%
P	4298	6.2%
R	3611	5.2%
N	3575	5.2%
B	3431	5.0%
I	2901	4.2%
G	2891	4.2%
Other values (14)	14071	20.3%

Space Separator

Value	Count	Frequency (%)
	47765	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3148	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	507774	90.9%
Common	50913	9.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	50452	9.9%
r	47750	9.4%
a	41905	8.3%
o	40163	7.9%
e	34907	6.9%
n	33908	6.7%
t	32395	6.4%
u	28405	5.6%
c	23365	4.6%
l	18929	3.7%
Other values (46)	155595	30.6%

Common

Value	Count	Frequency (%)
	47765	93.8%
-	3148	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	553048	99.0%
None	5639	1.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	50452	9.1%
	47765	8.6%
r	47750	8.6%
a	41905	7.6%
o	40163	7.3%
e	34907	6.3%
n	33908	6.1%
t	32395	5.9%
u	28405	5.1%
c	23365	4.2%
Other values (42)	172033	31.1%

None

Value	Count	Frequency (%)
ó	2636	46.7%
ü	976	17.3%
é	937	16.6%
í	558	9.9%
á	448	7.9%
ï	84	1.5%

location
Text

Distinct	75
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Length

Max length	21
Median length	14
Mean length	8.4852199
Min length	3

Characters and Unicode

Total characters	227056
Distinct characters	52
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Silverstone
2nd row	Silverstone
3rd row	Silverstone
4th row	Silverstone
5th row	Silverstone

Value	Count	Frequency (%)
monza	1836	5.5%
monte-carlo	1664	5.0%
silverstone	1436	4.3%
spa	1258	3.8%
montreal	1052	3.2%
nürburg	976	2.9%
são	937	2.8%
paulo	937	2.8%
hockenheim	935	2.8%
budapest	911	2.7%
Other values (86)	21336	64.1%

Most occurring characters

Value	Count	Frequency (%)
e	21482	9.5%
a	20589	9.1%
o	20333	9.0%
n	15825	7.0%
r	15197	6.7%
l	12397	5.5%
i	11829	5.2%
t	11730	5.2%
u	8611	3.8%
M	8021	3.5%
Other values (42)	81042	35.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	183905	81.0%
Uppercase Letter	34608	15.2%
Space Separator	6519	2.9%
Dash Punctuation	2024	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	21482	11.7%
a	20589	11.2%
o	20333	11.1%
n	15825	8.6%
r	15197	8.3%
l	12397	6.7%
i	11829	6.4%
t	11730	6.4%
u	8611	4.7%
s	6737	3.7%
Other values (18)	39175	21.3%

Uppercase Letter

Value	Count	Frequency (%)
M	8021	23.2%
S	6793	19.6%
C	3664	10.6%
B	2138	6.2%
A	1561	4.5%
I	1540	4.4%
N	1521	4.4%
P	1246	3.6%
H	1217	3.5%
L	1102	3.2%
Other values (12)	5805	16.8%

Space Separator

Value	Count	Frequency (%)
	6519	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2024	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	218513	96.2%
Common	8543	3.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	21482	9.8%
a	20589	9.4%
o	20333	9.3%
n	15825	7.2%
r	15197	7.0%
l	12397	5.7%
i	11829	5.4%
t	11730	5.4%
u	8611	3.9%
M	8021	3.7%
Other values (40)	72499	33.2%

Common

Value	Count	Frequency (%)
	6519	76.3%
-	2024	23.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	224344	98.8%
None	2712	1.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	21482	9.6%
a	20589	9.2%
o	20333	9.1%
n	15825	7.1%
r	15197	6.8%
l	12397	5.5%
i	11829	5.3%
t	11730	5.2%
u	8611	3.8%
M	8021	3.6%
Other values (39)	78330	34.9%

None

Value	Count	Frequency (%)
ã	977	36.0%
ü	976	36.0%
ó	759	28.0%

country
Categorical

High correlation

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Italy	2647
USA	2011
UK	1974
Germany	1926
Monaco	1664
Other values (30)	16537

Length

Max length	13
Median length	11
Mean length	6.0449195
Min length	2

Characters and Unicode

Total characters	161756
Distinct characters	43
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UK
2nd row	UK
3rd row	UK
4th row	UK
5th row	UK

Common Values

Value	Count	Frequency (%)
Italy	2647	9.9%
USA	2011	7.5%
UK	1974	7.4%
Germany	1926	7.2%
Monaco	1664	6.2%
Belgium	1597	6.0%
France	1513	5.7%
Spain	1438	5.4%
Canada	1291	4.8%
Brazil	1223	4.6%
Other values (25)	9475	35.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
italy	2647	9.6%
usa	2011	7.3%
uk	1974	7.2%
germany	1926	7.0%
monaco	1664	6.1%
belgium	1597	5.8%
france	1513	5.5%
spain	1438	5.2%
canada	1291	4.7%
brazil	1223	4.5%
Other values (28)	10176	37.1%

Most occurring characters

Value	Count	Frequency (%)
a	25958	16.0%
n	12991	8.0%
r	11103	6.9%
i	9882	6.1%
e	8840	5.5%
l	8088	5.0%
t	6986	4.3%
y	6088	3.8%
u	5787	3.6%
A	5428	3.4%
Other values (33)	60605	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	126927	78.5%
Uppercase Letter	34128	21.1%
Space Separator	701	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	25958	20.5%
n	12991	10.2%
r	11103	8.7%
i	9882	7.8%
e	8840	7.0%
l	8088	6.4%
t	6986	5.5%
y	6088	4.8%
u	5787	4.6%
o	5407	4.3%
Other values (14)	25797	20.3%

Uppercase Letter

Value	Count	Frequency (%)
A	5428	15.9%
S	4727	13.9%
U	4361	12.8%
B	3260	9.6%
I	2717	8.0%
M	2659	7.8%
K	2068	6.1%
G	1926	5.6%
C	1653	4.8%
F	1513	4.4%
Other values (8)	3816	11.2%

Space Separator

Value	Count	Frequency (%)
	701	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	161055	99.6%
Common	701	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	25958	16.1%
n	12991	8.1%
r	11103	6.9%
i	9882	6.1%
e	8840	5.5%
l	8088	5.0%
t	6986	4.3%
y	6088	3.8%
u	5787	3.6%
A	5428	3.4%
Other values (32)	59904	37.2%

Common

Value	Count	Frequency (%)
	701	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	161756	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	25958	16.0%
n	12991	8.0%
r	11103	6.9%
i	9882	6.1%
e	8840	5.5%
l	8088	5.0%
t	6986	4.3%
y	6088	3.8%
u	5787	3.6%
A	5428	3.4%
Other values (33)	60605	37.5%

lat
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.949556

Minimum	-37.8497
Maximum	57.2653
Zeros	0
Zeros (%)	0.0%
Negative	3141
Negative (%)	11.7%
Memory size	209.2 KiB

Quantile statistics

Minimum	-37.8497
5-th percentile	-33.0486
Q1	34.8431
median	43.7347
Q3	49.2542
95-th percentile	52.0786
Maximum	57.2653
Range	95.115
Interquartile range (IQR)	14.4111

Descriptive statistics

Standard deviation	25.24608
Coefficient of variation (CV)	0.74363506
Kurtosis	2.085716
Mean	33.949556
Median Absolute Deviation (MAD)	5.5959
Skewness	-1.8588395
Sum	908456.18
Variance	637.36457
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45.6156	1836	6.9%
43.7347	1664	6.2%
52.0786	1436	5.4%
50.4372	1258	4.7%
45.5	1052	3.9%
50.3356	976	3.6%
-23.7036	937	3.5%
49.3278	935	3.5%
47.5789	911	3.4%
47.2197	901	3.4%
Other values (67)	14853	55.5%

Value	Count	Frequency (%)
-37.8497	577	2.2%
-34.9272	312	1.2%
-34.6943	448	1.7%
-33.0486	75	0.3%
-25.9894	506	1.9%
-23.7036	937	3.5%
-22.9756	286	1.1%
1.2914	318	1.2%
2.76083	412	1.5%
19.4042	558	2.1%

Value	Count	Frequency (%)
57.2653	159	0.6%
53.4769	138	0.5%
52.8306	26	0.1%
52.4806	15	0.1%
52.3888	767	2.9%
52.0786	1436	5.4%
51.3569	374	1.4%
50.9894	282	1.1%
50.6211	57	0.2%
50.4372	1258	4.7%

lng
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.7244155

Minimum	-118.189
Maximum	144.968
Zeros	0
Zeros (%)	0.0%
Negative	8201
Negative (%)	30.6%
Memory size	209.2 KiB

Quantile statistics

Minimum	-118.189
5-th percentile	-86.2347
Q1	-1.01694
median	6.9475
Q3	14.7647
95-th percentile	136.541
Maximum	144.968
Range	263.157
Interquartile range (IQR)	15.78164

Descriptive statistics

Standard deviation	57.632776
Coefficient of variation (CV)	10.067888
Kurtosis	0.69820892
Mean	5.7244155
Median Absolute Deviation (MAD)	7.96444
Skewness	0.45023638
Sum	153179.63
Variance	3321.5368
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.28111	1836	6.9%
7.42056	1664	6.2%
-1.01694	1436	5.4%
5.97139	1258	4.7%
-73.5228	1052	3.9%
6.9475	976	3.6%
-46.6997	937	3.5%
8.56583	935	3.5%
19.2486	911	3.4%
14.7647	901	3.4%
Other values (67)	14853	55.5%

Value	Count	Frequency (%)
-118.189	220	0.8%
-117.273	23	0.1%
-115.174	60	0.2%
-115.173	40	0.1%
-112.075	108	0.4%
-99.0907	558	2.1%
-97.6411	246	0.9%
-96.7587	26	0.1%
-86.2347	573	2.1%
-83.0401	191	0.7%

Value	Count	Frequency (%)
144.968	577	2.2%
138.927	91	0.3%
138.617	312	1.2%
136.541	791	3.0%
134.221	52	0.2%
126.417	94	0.4%
121.22	362	1.4%
103.864	318	1.2%
101.738	412	1.5%
77.5331	70	0.3%

alt
Real number (ℝ)

High correlation

Distinct	66
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	276.84742

Minimum	-7
Maximum	2227
Zeros	154
Zeros (%)	0.6%
Negative	162
Negative (%)	0.6%
Memory size	209.2 KiB

Quantile statistics

Minimum	-7
5-th percentile	6
Q1	18
median	153
Q3	401
95-th percentile	1126
Maximum	2227
Range	2234
Interquartile range (IQR)	383

Descriptive statistics

Standard deviation	409.08655
Coefficient of variation (CV)	1.4776607
Kurtosis	9.5036422
Mean	276.84742
Median Absolute Deviation (MAD)	140
Skewness	2.8390667
Sum	7408160
Variance	167351.81
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	2104	7.9%
162	1836	6.9%
153	1595	6.0%
401	1258	4.7%
13	1052	3.9%
37	979	3.7%
578	976	3.6%
785	937	3.5%
103	935	3.5%
264	911	3.4%
Other values (56)	14176	53.0%

Value	Count	Frequency (%)
-7	162	0.6%
0	154	0.6%
2	163	0.6%
3	336	1.3%
4	112	0.4%
5	362	1.4%
6	767	2.9%
7	2104	7.9%
8	448	1.7%
10	577	2.2%

Value	Count	Frequency (%)
2227	558	2.1%
1460	506	1.9%
1126	286	1.1%
790	78	0.3%
785	937	3.5%
678	901	3.4%
676	20	0.1%
642	40	0.1%
639	60	0.2%
609	236	0.9%

race_datetime
Date

Missing

Distinct	394
Distinct (%)	4.8%
Missing	18469
Missing (%)	69.0%
Memory size	209.2 KiB

Minimum	2005-03-06 14:00:00
Maximum	2024-12-08 13:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Interactions

Correlations

	alt	circuitId	constructorId	constructors_nationality	country	driverId	driver_nationality	driver_number	grid	laps	lat	lng	points	position	positionOrder	positionText	raceId	rank	resultId	round	statusId	time_y	year
alt	1.000	0.283	0.053	0.098	0.806	0.022	0.102	0.063	0.035	-0.039	0.086	-0.251	-0.057	0.013	0.036	0.030	-0.053	0.075	-0.080	0.142	0.057	0.242	-0.189
circuitId	0.283	1.000	0.170	0.119	0.720	0.253	0.130	0.134	0.010	-0.007	-0.025	-0.162	-0.039	0.044	0.020	0.057	0.217	0.133	0.187	0.169	0.062	0.319	-0.274
constructorId	0.053	0.170	1.000	0.408	0.168	0.308	0.268	0.326	0.173	-0.105	0.079	-0.114	-0.217	0.149	0.202	0.175	0.320	0.222	0.298	-0.116	0.256	0.191	-0.325
constructors_nationality	0.098	0.119	0.408	1.000	0.094	0.232	0.267	0.295	0.153	0.193	0.087	0.124	0.176	0.114	0.119	0.117	0.265	0.173	0.266	0.072	0.075	0.122	0.286
country	0.806	0.720	0.168	0.094	1.000	0.236	0.085	0.081	0.056	0.239	0.954	0.966	0.074	0.029	0.037	0.033	0.275	0.101	0.265	0.478	0.074	0.399	0.289
driverId	0.022	0.253	0.308	0.232	0.236	1.000	0.339	0.344	0.066	0.005	0.061	-0.097	-0.069	0.132	0.063	0.154	0.706	0.258	0.669	-0.084	0.092	0.280	-0.218
driver_nationality	0.102	0.130	0.268	0.267	0.085	0.339	1.000	0.511	0.122	0.171	0.099	0.128	0.134	0.067	0.109	0.067	0.290	0.126	0.291	0.092	0.086	0.099	0.309
driver_number	0.063	0.134	0.326	0.295	0.081	0.344	0.511	1.000	0.122	0.100	0.129	0.142	0.252	0.092	0.123	0.086	0.353	0.198	0.346	0.123	0.089	0.167	0.344
grid	0.035	0.010	0.173	0.153	0.056	0.066	0.122	0.122	1.000	0.042	-0.007	-0.010	-0.403	0.230	0.223	0.285	-0.033	0.147	-0.028	0.015	0.175	0.048	-0.001
laps	-0.039	-0.007	-0.105	0.193	0.239	0.005	0.171	0.100	0.042	1.000	-0.091	-0.080	0.419	0.270	-0.680	0.294	0.085	0.152	0.093	-0.014	-0.292	0.158	0.120
lat	0.086	-0.025	0.079	0.087	0.954	0.061	0.099	0.129	-0.007	-0.091	1.000	-0.099	-0.052	0.056	0.019	0.060	-0.012	0.141	-0.035	0.111	0.060	0.440	-0.235
lng	-0.251	-0.162	-0.114	0.124	0.966	-0.097	0.128	0.142	-0.010	-0.080	-0.099	1.000	0.069	0.059	-0.039	0.064	-0.005	0.150	0.025	0.101	-0.101	0.584	0.283
points	-0.057	-0.039	-0.217	0.176	0.074	-0.069	0.134	0.252	-0.403	0.419	-0.052	0.069	1.000	0.424	-0.784	0.424	0.144	0.270	0.161	0.057	-0.623	0.143	0.226
position	0.013	0.044	0.149	0.114	0.029	0.132	0.067	0.092	0.230	0.270	0.056	0.059	0.424	1.000	0.605	1.000	0.127	0.164	0.126	0.047	0.184	0.061	0.139
positionOrder	0.036	0.020	0.202	0.119	0.037	0.063	0.109	0.123	0.223	-0.680	0.019	-0.039	-0.784	0.605	1.000	0.650	-0.065	0.210	-0.071	-0.010	0.570	0.067	-0.100
positionText	0.030	0.057	0.175	0.117	0.033	0.154	0.067	0.086	0.285	0.294	0.060	0.064	0.424	1.000	0.650	1.000	0.149	0.166	0.149	0.048	0.403	0.061	0.168
raceId	-0.053	0.217	0.320	0.265	0.275	0.706	0.290	0.353	-0.033	0.085	-0.012	-0.005	0.144	0.127	-0.065	0.149	1.000	0.303	0.969	0.013	-0.077	0.417	0.073
rank	0.075	0.133	0.222	0.173	0.101	0.258	0.126	0.198	0.147	0.152	0.141	0.150	0.270	0.164	0.210	0.166	0.303	1.000	0.293	0.110	0.118	0.192	0.323
resultId	-0.080	0.187	0.298	0.266	0.265	0.669	0.291	0.346	-0.028	0.093	-0.035	0.025	0.161	0.126	-0.071	0.149	0.969	0.293	1.000	0.029	-0.104	0.392	0.131
round	0.142	0.169	-0.116	0.072	0.478	-0.084	0.092	0.123	0.015	-0.014	0.111	0.101	0.057	0.047	-0.010	0.048	0.013	0.110	0.029	1.000	-0.110	0.341	0.300
statusId	0.057	0.062	0.256	0.075	0.074	0.092	0.086	0.089	0.175	-0.292	0.060	-0.101	-0.623	0.184	0.570	0.403	-0.077	0.118	-0.104	-0.110	1.000	0.093	-0.294
time_y	0.242	0.319	0.191	0.122	0.399	0.280	0.099	0.167	0.048	0.158	0.440	0.584	0.143	0.061	0.067	0.061	0.417	0.192	0.392	0.341	0.093	1.000	0.420
year	-0.189	-0.274	-0.325	0.286	0.289	-0.218	0.309	0.344	-0.001	0.120	-0.235	0.283	0.226	0.139	-0.100	0.168	0.073	0.323	0.131	0.300	-0.294	0.420	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	resultId	raceId	driverId	constructorId	race_number	grid	position	positionText	positionOrder	points	laps	time_x	milliseconds	fastestLap	rank	fastestLapTime	fastestLapSpeed	statusId	driverRef	driver_number	code	forename	surname	dob	driver_nationality	constructorRef	constructor_name	constructors_nationality	year	round	circuitId	race_name	date	time_y	url	circuitRef	circuit_name	location	country	lat	lng	alt	race_datetime
0	20025	833	642	51	2	1	1	1	1	9.0	70	2:13:23.6	8003600	\N	\N	\N	\N	1	farina	\N	\N	Nino	Farina	1906-10-30	Italian	alfa	Alfa Romeo	Swiss	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
1	20026	833	786	51	3	2	2	2	2	6.0	70	+2.6	8006200	\N	\N	\N	\N	1	fagioli	\N	\N	Luigi	Fagioli	1898-06-09	Italian	alfa	Alfa Romeo	Swiss	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
2	20027	833	686	51	4	4	3	3	3	4.0	70	+52.0	8055600	\N	\N	\N	\N	1	reg_parnell	\N	\N	Reg	Parnell	1911-07-02	British	alfa	Alfa Romeo	Swiss	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
3	20028	833	704	154	14	6	4	4	4	3.0	68	\N	\N	\N	\N	\N	\N	12	cabantous	\N	\N	Yves	Cabantous	1904-10-08	French	lago	Talbot-Lago	French	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
4	20029	833	627	154	15	9	5	5	5	2.0	68	\N	\N	\N	\N	\N	\N	12	rosier	\N	\N	Louis	Rosier	1905-11-05	French	lago	Talbot-Lago	French	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
5	20030	833	619	151	12	13	6	6	6	0.0	67	\N	\N	\N	\N	\N	\N	13	gerard	\N	\N	Bob	Gerard	1914-01-19	British	era	ERA	British	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
6	20031	833	787	151	11	15	7	7	7	0.0	67	\N	\N	\N	\N	\N	\N	13	harrison	\N	\N	Cuth	Harrison	1906-07-06	British	era	ERA	British	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
7	20032	833	741	154	16	14	8	8	8	0.0	65	\N	\N	\N	\N	\N	\N	15	etancelin	\N	\N	Philippe	Étancelin	1896-12-28	French	lago	Talbot-Lago	French	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
8	20033	833	784	105	6	16	9	9	9	0.0	64	\N	\N	\N	\N	\N	\N	16	hampshire	\N	\N	David	Hampshire	1917-12-29	British	maserati	Maserati	Italian	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT
9	20034	833	778	105	10	20	10	10	10	0.0	64	\N	\N	\N	\N	\N	\N	16	shawe_taylor	\N	\N	Brian	Shawe Taylor	1915-01-28	British	maserati	Maserati	Italian	1950	1	9	British Grand Prix	1950-05-13	\N	http://en.wikipedia.org/wiki/1950_British_Grand_Prix	silverstone	Silverstone Circuit	Silverstone	UK	52.0786	-1.01694	153	NaT

	resultId	raceId	driverId	constructorId	race_number	grid	position	positionText	positionOrder	laps	time_x	milliseconds	fastestLap	rank	fastestLapTime	fastestLapSpeed	statusId	driverRef	driver_number	code	forename	surname	dob	driver_nationality	constructorRef	constructor_name	constructors_nationality	year	round	circuitId	race_name	date	time_y	url	circuitRef	circuit_name	location	country	lat	lng	alt	race_datetime
26749	26755	1144	848	3	23	18	11	11	11	57	\N	\N	46	18	1:29.438	212.567	11	albon	23	ALB	Alexander	Albon	1996-03-23	Thai	williams	Williams	British	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26750	26756	1144	852	215	22	11	12	12	12	57	\N	\N	41	15	1:29.200	213.134	11	tsunoda	22	TSU	Yuki	Tsunoda	2000-05-11	Japanese	rb	RB F1 Team	Italian	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26751	26757	1144	855	15	24	15	13	13	13	57	\N	\N	56	8	1:27.982	216.085	11	zhou	24	ZHO	Guanyu	Zhou	1999-05-30	Chinese	sauber	Sauber	Swiss	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26752	26758	1144	840	117	18	13	14	14	14	57	\N	\N	42	11	1:28.604	214.568	11	stroll	18	STR	Lance	Stroll	1998-10-29	Canadian	aston_martin	Aston Martin	British	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26753	26759	1144	862	214	61	17	15	15	15	57	\N	\N	56	13	1:29.121	213.323	11	doohan	61	DOO	Jack	Doohan	2003-01-20	Australian	alpine	Alpine F1 Team	French	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26754	26760	1144	825	210	20	14	16	16	16	57	\N	\N	57	1	1:25.637	222.002	11	kevin_magnussen	20	MAG	Kevin	Magnussen	1992-10-05	Danish	haas	Haas F1 Team	American	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26755	26761	1144	859	215	30	12	17	17	17	55	\N	\N	52	12	1:28.751	214.212	5	lawson	30	LAW	Liam	Lawson	2002-02-11	New Zealander	rb	RB F1 Team	Italian	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26756	26762	1144	822	15	77	9	\N	R	18	30	\N	\N	14	19	1:29.482	212.462	130	bottas	77	BOT	Valtteri	Bottas	1989-08-28	Finnish	sauber	Sauber	Swiss	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26757	26763	1144	861	3	43	20	\N	R	19	26	\N	\N	5	17	1:29.411	212.631	5	colapinto	43	COL	Franco	Colapinto	2003-05-27	Argentinian	williams	Williams	British	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00
26758	26764	1144	815	9	11	10	\N	R	20	0	\N	\N	\N	0	\N	\N	4	perez	11	PER	Sergio	Pérez	1990-01-26	Mexican	red_bull	Red Bull	Austrian	2024	24	24	Abu Dhabi Grand Prix	2024-12-08	13:00:00	https://en.wikipedia.org/wiki/2024_Abu_Dhabi_Grand_Prix	yas_marina	Yas Marina Circuit	Abu Dhabi	UAE	24.4672	54.6031	3	2024-12-08 13:00:00

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Uppercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common